code: def hybrid_forward(self, F, x):
      res = x
      x = self.conv_beforshuffle(x)
      if self.grouped_conv:
          x = self.channel_shuffle(F, x, groups=self.groups)
      x = self.conv_aftershuffle(x)
      if self.combine_type == "concat":
          res = F.Pooling(
              data=res,
              kernel=(3, 3),
              pool_type="avg",
              stride=(2, 2),
              pad=(1, 1),
          )
      x = self.combine(F, res, x, combine=self.combine_type)
      return x
  
imports: from mxnet.context import cpu
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.block import HybridBlock
label_desc: Use image node_id 4 for calling the shuffleUnit obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: x